Class will meet for 8 sessions on Wed and Thurs evenings from 7:00 to 9:00 pm.
First meeting: Wed Mar 27th from 7:00 – 9:00 pm

Neural nets were officially pronounced dead in the 90’s, but Canadian scholars didn’t get the memo. Their thoughtful, persistence has lead to several new discoveries that have resurrected neural nets and made them the best choice for a number of extremely difficult problems like speech recognition and handwriting recognition. (Geoffrey Hinton, one of the leading Canadian scholars just announced that he’s coming to Google. https://plus.google.com/u/0/102889418997957626067/posts/GWe4AscQdS7 )

This course will cover background on neural nets, their origins, traditional architectures and recent developments such as auto-encoders and restricted Boltzman machines.

Prerequisites
The class will undergraduate level calculus and linear algebra and moderate programming skills. We’ll use R and Python primarily. Some familiarity with machine learning problems (e.g. linear regression) will be helpful, but not strictly required.

For more info:

Machine Learning w Neural Nets

Wednesday, Mar 27, 2013, 7:00 PM

Hacker Dojo599 Fairchild Drive Mountain View, CA

7 Members Went

Machine Learning w. Neural NetsInstructor: Dr. Mike BowlesNeural nets were officially pronounced dead in the 90’s, but Canadian scholars didn’t get the memo. Their thoughtful, persistence has lead to several new discoveries that have resurrected neural nets and made them the best choice for a number of extremely difficult problems like speech re…